Eunji Chong
- Human-Computer Interaction top 5%
- Computer Vision and Pattern Recognition
- Cognitive Neuroscience
- Artificial Intelligence
- Social Psychology
- Co-authors
- James M. RehgNataniel RuizYongxin WangAgata RozgaRebecca JonesAudrey SoutherlandZhefan YeCatherine Lord
- Topics
- Gaze Tracking and Assistive Technology (5 papers)Visual Attention and Saliency Detection (3 papers)Retinal Imaging and Analysis (2 papers)
- Journals
- Nature CommunicationsCognitive ScienceProceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies
- Partner nations
- United StatesGermanyUnited Kingdom
In The Last Decade
Eunji Chong
7 papers receiving 153 citations
Peers
Comparison fields: 5 of 42
- Human-Computer Interaction 78
- Computer Vision and Pattern Recognition 57
- Cognitive Neuroscience 41
- Artificial Intelligence 26
- Social Psychology 24
Countries citing papers authored by Eunji Chong
This map shows the geographic impact of Eunji Chong's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Eunji Chong with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Eunji Chong more than expected).
Fields of papers citing papers by Eunji Chong
This network shows the impact of papers produced by Eunji Chong. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Eunji Chong. The network helps show where Eunji Chong may publish in the future.
Co-authorship network of co-authors of Eunji Chong
This figure shows the co-authorship network connecting the top 25 collaborators of Eunji Chong. A scholar is included among the top collaborators of Eunji Chong based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Eunji Chong. Eunji Chong is excluded from the visualization to improve readability, since they are connected to all nodes in the network.
All Works
| # | Work | Indexed citations |
|---|---|---|
| 1 | 4 | |
| 2 | 4 | |
| 3 | 33 | |
| 4 | Enhancing Cognitive Assessment through Multimodal Sensing: A Case Study Using the Block Design Test. | 1 |
| 5 | 66 | |
| 6 | 2 | |
| 7 | 44 |
About Eunji Chong
Eunji Chong is a scholar working on Human-Computer Interaction, Computer Vision and Pattern Recognition and Cognitive Neuroscience, having authored 7 papers that have together received 154 indexed citations. Recurring topics across this work include Gaze Tracking and Assistive Technology (5 papers), Visual Attention and Saliency Detection (3 papers) and Retinal Imaging and Analysis (2 papers). The work is most often cited by research in Human-Computer Interaction (78 citations), Computer Vision and Pattern Recognition (57 citations) and Occupational Therapy (11 citations). Eunji Chong has collaborated with scholars based in United States, Germany and United Kingdom. Frequent co-authors include James M. Rehg, Nataniel Ruiz, Yongxin Wang, Agata Rozga, Rebecca Jones, Audrey Southerland, Zhefan Ye, Catherine Lord, Melanie Silverman and Aleš Leonardis. Their work appears in journals such as Nature Communications, Cognitive Science and Proceedings of the ACM on Interactive Mobile Wearable and Ubiquitous Technologies.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.